Ramasamy Aarthy
Impact in
-
- Vaccine Coverage and Hesitancy
Papers in
- Surgery 4
- Pancreatic function and diabetes 4
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- Diabetes Management and Research 3
- Co-authors
- Viswanathan Mohan (7 shared papers)Sambit Dash (4 shared papers)Antonina Mikocka‐Walus (4 shared papers)Ranjit Unnikrishnan (4 shared papers)Kathryn Aston‐Mourney (4 shared papers)Ranjit Mohan Anjana (3 shared papers)Venkatesan Radha (3 shared papers)Anandakumar Amutha (4 shared papers)
- Journals
- Scientific Reports (1 paper)Epidemiology and Infection (1 paper)Journal of Public Health Policy (1 paper)Journal of Diabetes Science and Technology (1 paper)BMJ Global Health (1 paper)
- Partner nations
- IndiaAustraliaBangladesh
In The Last Decade
Ramasamy Aarthy
13 papers receiving 236 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 6
- Health 18
- Endocrinology, Diabetes and Metabolism 36
- Modeling and Simulation 9
- Public Health, Environmental and Occupational Health 45
Countries citing papers authored by Ramasamy Aarthy
This map shows the geographic impact of Ramasamy Aarthy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ramasamy Aarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramasamy Aarthy more than expected).
Fields of papers citing papers by Ramasamy Aarthy
This network shows the impact of papers produced by Ramasamy Aarthy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ramasamy Aarthy. The network helps show where Ramasamy Aarthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramasamy Aarthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 63 | |
| 2 | 2020 | 54 | |
| 3 | 2021 | 35 | |
| 4 | 2022 | 24 | |
| 5 | 2019 | 18 | |
| 6 | 2017 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 5 | |
| 10 | 2020 | 2 | |
| 11 | Neglect of household biomedical waste | 2019 | 1 |
| 12 | 2021 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2026 | 0 |
About Ramasamy Aarthy
Ramasamy Aarthy is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Health, Sociology and Political Science and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 246 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Diabetes Management and Research (3 papers), Vaccine Coverage and Hesitancy (2 papers), Diabetes and associated disorders (2 papers), Misinformation and Its Impacts (2 papers), Telemedicine and Telehealth Implementation (1 paper), COVID-19 and healthcare impacts (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Health Informatics (6 citations), Health (18 citations), Endocrinology, Diabetes and Metabolism (36 citations), Modeling and Simulation (9 citations) and Public Health, Environmental and Occupational Health (45 citations). Ramasamy Aarthy has collaborated with scholars based in India, Australia and Bangladesh. Frequent co-authors include Viswanathan Mohan, Sambit Dash, Antonina Mikocka‐Walus, Ranjit Unnikrishnan, Kathryn Aston‐Mourney, Ranjit Mohan Anjana, Venkatesan Radha, Anandakumar Amutha, RanjitMohan Anjana and Vijayaprasad Gopichandran. Their work appears in journals such as Scientific Reports, Epidemiology and Infection, Journal of Public Health Policy, Journal of Diabetes Science and Technology and BMJ Global Health.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.